Guy Lebanon

21 papers · 2005–2016 · 7 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (11)

🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (10) 🌱 Topic Pioneer 🏆 Keyword Champion 💎 Century Club (21) 🚀 Conference Pioneer 📈 Trend Setter ⚡ Prolific Year (5) 🔥 Unstoppable (9) 🗃️ Keyword Collector (93)

Conferences

JMLR (8) AISTATS (4) NIPS (3) COLING (2) ICML (2) CVPR (1) EMNLP (1)

Top co-authors

Krishnakumar Balasubramanian (6) Yi Mao (5) Seungyeon Kim (5) Joonseok Lee (4) Pinar Donmez (3) Mingxuan Sun (3) Fuxin Li (2) Paul Kidwell (2) Yoram Singer (2) John Lafferty (1)

Research topics

Statistics (1)

Keywords

collaborative filtering (5) recommendation system (4) non-parametric model (3) unlabeled datum (3) matrix factorization (3) semi-supervised learning (2) kernel smoothing (2) recommender system (2) composite likelihood (2) transfer learning (2) partial ranking (2) unsupervised learning (2) margin-based classification (2) sentiment analysis (2) conditional random field (2) sparse coding (1) sequence labeling (1) image segmentation (1) statistical learning (1) em algorithm (1)

Papers

LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013 Local Low-Rank Matrix Approximation ICML 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013 Composite Statistical Inference for Semantic Segmentation CVPR 2013 PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012 Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Stochastic Composite Likelihood JMLR 2010 Local Space-Time Smoothing for Version Controlled Documents COLING 2010 Dimensionality Reduction for Text using Domain Knowledge COLING 2010 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010 Statistical Estimation of Word Acquisition with Application to Readability Prediction EMNLP 2009 Non-Parametric Modeling of Partially Ranked Data JMLR 2008 The Locally Weighted Bag of Words Framework for Document Representation JMLR 2007 Non-parametric Modeling of Partially Ranked Data NIPS 2007 Isotonic Conditional Random Fields and Local Sentiment Flow NIPS 2006 Diffusion Kernels on Statistical Manifolds JMLR 2005